Connexa Sports Technologies Inc. reported very positive responses from its initial groups of beta testers of its Artificial Intelligence (AI) driven Slinger App for tennis. The initial roll-out of the app's beta version is now in the hands of more than 500 testers across the globe with another 500 testers set to receive it before the holidays. One of the first testers to provide Slinger with beta test feedback was ATP Coach of the Year Darren Cahill -- coach to Jannick Sinner, who ended the year ranked #4 in the ATP rankings.

The Slinger App, powered by Gameface, provides tennis players with access to analytics data through a sport specific, automated AI platform that analyzes and extracts data from uploaded player practice or match videos. Gameface's core analytic capabilities are delivered through a compatible single camera or smartphone, which facilitates scalable solutions for the tennis market without relying on specific hardware or camera types. The Slinger App will offer a 'freemium' version for several months with the plan to commence an estimated $10 per month or $100 per annum subscription service as new analytic features are added.

The main challenge faced in developing a Tennis analytics app involves developing recognition learning for the many different and individual playing styles and techniques used in today's modern game. Over the past year, significant testing across all varieties of playing styles together with input from key tennis coaching minds has enabled Slinger to identify four universal pillars that are the common traits on which all players' games are built, irrespective of style or technique. These four critical pillars are: Hitting Foundation, Shoulder Rotation; Weight Drift; and Hitting Contact.

The Slinger App utilizes video-based AI to analyze, measure and report scores for each critical pillar and then links this to support the player with insights and self-coaching tips in a very simple and effective way. Slinger App's aims to provide players with regular, meaningful, interesting, interesting solutions for the tennis market without relying on specific hardware or camera types.